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Credit Risk Data Science Jobs in El Segundo, CA (NOW HIRING)

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Yamaha

Global Risk & Analytics Manager

Cypress, CA · Hybrid

$110K - $150K/yr

Use of Data Mining, approved Artificial Intelligence and Machine Learning technologies to analyze businessperformance * Conduct comprehensive analyses to assess levels of credit risk- including ...

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in El Segundo, CA

Credit Risk Data Science information

See El Segundo, CA salary details

$39.4K

$121.3K

$210.4K

How much do credit risk data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for credit risk data science in El Segundo, CA is $121,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $149,700.00 per year, depending on experience, location, and employer.

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What cities near El Segundo, CA are hiring for Credit Risk Data Science jobs? Cities near El Segundo, CA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in El Segundo, CA as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,301 per year, or $58.3 per hour.
Senior Manager, Risk Analytics - 1312940

Senior Manager, Risk Analytics - 1312940

Talent Advocates

Los Angeles, CA • On-site

$115K - $140K/yr

Full-time

Re-posted 11 hours ago

Job description

Job Description

Our client, a Los Angeles based financial services Company, is hiring for an experienced Assistant Vice President, Risk Analytics to join their Risk and Credit Group. The primary function of this role is to act as a Data Scientist for the Risk Management Department, and a Project Manager/Liaison for all related Risk systems and IT functions. You will need to design SQL queries and relational databases to carry out daily tasks and automate reports for the risk management department.

Responsibilities will include, but are not limited to:

·       Build, monitor, distribute risk reports and margin calculations

·       Design SQL query and relational databases to carry out daily tasks and automate reports

·       Create and Manage risk dashboards

·       Perform complex data analysis on account balances and positions across the firm

·       Manage ad hoc projects as requested by leadership

·       Be the system administrator and point of contact for various risk systems and tools

·       Present and explain analysis in a non-technical and accessible manner alongside data visualization

·       Perform other tasks and duties as required and assigned

Experience and Skills

·       Bachelor’s Degree from an accredited University, preferably in Computer Science, Data Science, or related field

·       Advanced proficiency in SQL and understanding of data access tools

·       5+ years’ experience in Information Technology, preferably for a financial services firm

·       5+ years’ experience in Data Analytics, Risk Analysis, or related role

·       Understanding of Equities, Options, and Margin is a plus

·       Must be detail oriented and maintain data integrity

·       Creative, solution-oriented mindset with the ability to handle pressure to meet deadlines

·       Able to work with minimal supervision, taking ownership of work and completing tasks in timely manner, while adapting rapidly to changing work environments, priorities and organizational needs

·       Ability to identify gaps in existing processes and gain efficiency through automation.

·       Experience working with multiple teams across different time zones